flipud(m)
This docstring was copied from numpy.flipud.
Some inconsistencies with the Dask version may exist.
For a 2-D array, this flips the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.
Equivalent to m[::-1, ...]
or np.flip(m, axis=0)
. Requires the array to be at least 1-D.
Input array.
A view of m with the rows reversed. Since a view is returned, this operation is $\mathcal O(1)$
.
Reverse the order of elements along axis 0 (up/down).
flip
Flip array in one or more dimensions.
fliplr
Flip array in the left/right direction.
rot90
Rotate array counterclockwise.
>>> A = np.diag([1.0, 2, 3]) # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... A # doctest: +SKIP array([[1., 0., 0.], [0., 2., 0.], [0., 0., 3.]])
>>> np.flipud(A) # doctest: +SKIP array([[0., 0., 3.], [0., 2., 0.], [1., 0., 0.]])This example is valid syntax, but we were not able to check execution
>>> A = np.random.randn(2,3,5) # doctest: +SKIPThis example is valid syntax, but we were not able to check execution
... np.all(np.flipud(A) == A[::-1,...]) # doctest: +SKIP True
>>> np.flipud([1,2]) # doctest: +SKIP array([2, 1])See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.fliplr
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